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[BA+06]  Latent Doodle Space

Baxter:2006:LDS (Article)
Author(s)Baxter W. and Anjyo K.I.
Title« Latent Doodle Space »
JournalComputer Graphics Forum (Proceedings of Eurographics 2006, Vienna, Austria, September 4--8, 2005)
Volume25
Number3
Page(s)477--485
Year2006
URLhttp://www.eg.org/EG/CGF/volume25/issue3/v25i3pp477-485.pdf.abstract.pdf;internal&action=paperabstract.action

Abstract
We propose the concept of a latent doodle space, a low-dimensional space derived from a set of input doodles, or simple line drawings. The latent space provides a foundation for generating new drawings that are similar, but not identical to, the input examples. The two key components of this technique are 1) a heuristic algorithm for finding stroke correspondences between the drawings, and 2) the use of latent variable methods to automatically extract a low-dimensional latent doodle space from the inputs. We present two practical applications that demonstrate the utility of this idea: first, a randomized stamp tool that creates a different image on every usage; and second, ``personalized probabilistic fonts,'' a handwriting synthesis technique that mimics the idiosyncrasies of one’s own handwriting.

BibTeX code
@article{Baxter:2006:LDS,
  optpostscript = {},
  number = {3},
  month = sep,
  author = {William Baxter and Ken-Ichi Anjyo},
  optkey = {},
  optannote = {},
  url = {http://www.eg.org/EG/CGF/volume25/issue3/v25i3pp477-485.pdf.abstract.pdf;internal&action=paperabstract.action},
  localfile = {papers/Baxter.2006.LDS.pdf},
  optkeywords = {},
  doi = {http://dx.doi.org/10.1111/j.1467-8659.2006.00967.x},
  optciteseer = {},
  journal = EUROGRAPHICS2006,
  volume = {25},
  optwww = {},
  title = {{L}atent {D}oodle {S}pace},
  abstract = {We propose the concept of a latent doodle space, a low-dimensional
              space derived from a set of input doodles, or simple line
              drawings. The latent space provides a foundation for generating
              new drawings that are similar, but not identical to, the input
              examples. The two key components of this technique are 1) a
              heuristic algorithm for finding stroke correspondences between the
              drawings, and 2) the use of latent variable methods to
              automatically extract a low-dimensional latent doodle space from
              the inputs. We present two practical applications that demonstrate
              the utility of this idea: first, a randomized stamp tool that
              creates a different image on every usage; and second,
              ``personalized probabilistic fonts,'' a handwriting synthesis
              technique that mimics the idiosyncrasies of one’s own
              handwriting.},
  pages = {477--485},
  year = {2006},
}

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